{"id":1172,"date":"2023-11-21T16:29:55","date_gmt":"2023-11-21T10:59:55","guid":{"rendered":"https:\/\/www.techandtrain.com\/blog\/?p=1172"},"modified":"2025-10-22T14:52:14","modified_gmt":"2025-10-22T09:22:14","slug":"deepfakes-primer-part-1","status":"publish","type":"post","link":"https:\/\/www.techandtrain.com\/blog\/2023\/11\/deepfakes-primer-part-1\/","title":{"rendered":"Deepfakes primer – Part 1"},"content":{"rendered":"\n

Currently since few days topic of discussion has been Deepfakes. In that context, find below a compilation of definition, tips, articles and companies working on detecting Deepfakes.<\/p>\n\n\n\n

As per Wikipedia, Deepfakes are – “Deepfakes<\/strong><\/em> (portmanteau<\/a> of “deep learning<\/a>” and “fake”[1]<\/a>) are synthetic media<\/a>[2]<\/a> that have been digitally manipulated to replace one person’s likeness convincingly with that of another. Deepfakes are the manipulation of facial appearance through deep generative methods.[3]<\/a> While the act of creating fake content is not new, deepfakes leverage powerful techniques from machine learning<\/a> and artificial intelligence<\/a> to manipulate or generate visual and audio content that can more easily deceive.[4]<\/a>[5]”<\/a><\/p>\n\n\n\n

To quote this article:<\/strong> Deepfakes, explained | MIT Sloan<\/a><\/p>\n\n\n\n

Here are some common tips to detect a Deepfake.<\/strong><\/p>\n\n\n\n